Your employer installed monitoring software six months ago. Keystroke tracking. Screen recording. Mouse movement sensors. Activity logs track every minute you spend productively versus idly.

Last week, HR called you in. Your productivity scores are below average. Too much idle time. Not enough keystrokes per hour. Mouse movements indicate distraction.

You’re on a performance improvement plan. The data doesn’t lie, they say.

Except that the data is measuring your ADHD. Your depression. Your chronic pain. Your disability.

And using that data to fire you is illegal.

The surveillance nobody’s talking about

Productivity monitoring software has rapidly expanded in American workplaces. Keystroke loggers measure typing speed. Screen capture tools take snapshots of your monitor every few minutes. Mouse trackers detect periods of inactivity. Time tracking classifies each application as either productive or unproductive.

The pitch to employers is irresistible: objective data. Real-time metrics. No more subjective evaluations. Just numbers showing who’s working and who’s slacking.

The surveillance is thorough. Some systems monitor typing speed changes, analyze tone in written messages, observe facial expressions via webcams, and use GPS to confirm location. One platform claims to identify who is productive, absent, or idle. Another provides keystroke logging to prevent wasted effort.

But these systems don’t measure productivity. They measure behavior patterns. And those patterns look different when you have a disability.

When the metrics measure disability symptoms

Keystroke monitoring flags workers with arthritis who intentionally type to manage pain. Screen monitoring detects depression signs when someone stares at their screen, conserving mental energy to respond to emails. Task-switching alerts are designed for ADHD workers who switch between assignments to help them stay focused.

The software doesn’t distinguish between a break and a disability symptom. It just sees deviation from the assumed standard: steady keystrokes, minimal idle time, continuous focus, consistent mouse movement.

When someone with arthritis minimizes keystrokes as a pain management strategy, the system flags low productivity. When someone with depression takes breaks to manage overwhelming anxiety, the software records excessive idle time. When someone with ADHD switches tasks to maintain concentration, the monitoring shows distraction.

Quality of work doesn’t matter. Meeting deadlines doesn’t matter. The metrics indicate there’s a problem, and that leads to the documented performance issue termination.

That’s disability discrimination. The productivity metric doesn’t measure job performance. It measures manifestations of disability.

The disparate impact problem

Productivity monitoring creates a classic disparate-impact form of discrimination. The metrics are facially neutral. They apply to everyone. But workers with ADHD, depression, chronic pain, arthritis, and anxiety disorders are disproportionately flagged. Not because they perform worse. Because their disability symptoms create behavior patterns that the software interprets as poor productivity.

Under the Americans with Disabilities Act, employers can’t use employment practices that disproportionately screen out disabled workers unless those practices are job-related and consistent with business necessity.

New York law provides even stronger protections. The New York State Human Rights Law applies to all employers regardless of size and explicitly recognizes disparate impact claims. A practice violates state law when it actually or predictably results in a disparate impact based on disability.

The New York City Human Rights Law extends further. Policies that are neutral but disproportionately disadvantage disabled workers are illegal unless they are closely related to a vital business goal. NYC law covers employers with four or more employees, broadens the definition of disability, and permits more substantial damages.

Most employers using productivity monitoring haven’t checked if their metrics are relevant and necessary for the job. They install software, collect data, discipline based on these metrics, and assume the numbers justify their decisions.

That assumption violates the law when it results in firing disabled workers for disability symptoms that the metrics flagged.

When employers don’t know about the disability

Many disabled workers choose not to disclose their condition because of the deep stigma attached. They manage their symptoms privately, developing strategies that differ from typical neurotypical work patterns.

When productivity monitoring detects these patterns, workers face a difficult choice: disclose and risk discrimination, or keep silent and face discipline for behaviors they can’t change without proper accommodation.

Both options carry employer liability. If a worker discloses and requests accommodation, it is illegal for the employer to use monitoring data to deny that accommodation or to continue disciplining the worker.

Conversely, if a worker doesn’t disclose and is fired based on monitoring data, the employer cannot claim ignorance if the metrics themselves produce a disparate impact. The employer doesn’t need to know about individual disabilities to be held liable for systems that systematically disadvantage disabled workers as a group.

The reasonable accommodation gap

Even when employers offer accommodations, productivity monitoring creates problems. Allowing employees to work from home and take breaks as needed is contradicted by monitoring software that marks breaks as productivity issues. Flexible scheduling accommodations are undermined by software that labels task switching as unproductive. Reductions in workload are ignored by metrics that compare the worker to full-time employees. Employers provide accommodations in theory while using monitoring systems that penalize the accommodated behaviors in practice. This contradiction leads to liability.

What the law requires

The ADA prohibits using employment tests or selection criteria that screen out disabled individuals unless the employer proves they’re job-related and consistent with business necessity.

Productivity monitoring metrics are selection criteria used to make employment decisions: discipline, performance plans, promotion denials, and terminations.

To use metrics that disproportionately flag disabled workers, employers must demonstrate that these specific metrics are essential to job performance. Keystroke counting may be necessary for data entry tasks where speed is critical. It’s not necessary for attorneys drafting contracts, where quality outweighs typing speed. Idle time tracking may be justified for customer service requiring immediate responses. However, it is not justified for creative or analytical work, where thinking time is productive.

Most employers using productivity monitoring haven’t conducted this analysis. They implement software, use the data, and discipline based on metrics, and assume that numbers justify decisions.

That assumption is wrong. And when it results in firing disabled workers for disability symptoms, it’s illegal.

The evidence that proves discrimination

Employers using monitoring software create perfect evidence. Termination paperwork cites productivity data. Low keystroke rates. Excessive idle time. Too much task switching. Those metrics are documented.

Medical records, if disclosed, document ADHD, depression, and chronic pain, explaining the flagged behavior. The connection between disability symptoms and productivity problems is clear.

The employer’s insistence that metrics are objective is documented in performance reviews. That establishes metrics drove decisions.

Disparate impact is provable through monitoring data itself. Comparing metrics across workers often reveals higher flagging rates among disabled workers. That statistical disparity is evidence of disparate impact.

This documentation makes these cases easier to prove than traditional discrimination claims relying on anecdotal evidence. The numbers tell the story. The employer created the records. The discrimination is quantifiable.

When to contact an employment lawyer

If you’re being disciplined based on productivity monitoring data and those metrics indicate behavior related to a disability, and you’ve disclosed your disability and requested accommodation but discipline continues, or if you’ve been terminated with the stated reason involving monitoring data such as idle time, low keystroke rates, task switching, or other patterns connected to disability symptoms.

At Risman & Risman, we represent New York employees in disability discrimination, retaliation, and wrongful termination cases. We understand how productivity monitoring systems work. We know how to prove they discriminate against disabled workers. And we know what these cases are worth.

If you were disciplined or fired based on productivity-monitoring data, call us at 212-233-6400 or contact us online for a free, confidential consultation.

The software is watching you. But the law is watching the software. And when the data shows discrimination, the employer can’t hide behind the numbers.